UNAAGI: Atom-Level Diffusion for Generating Non-Canonical Amino Acid Substitutions
Published:
Presentation slides for UNAAGI.
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Diffusion Models
NCAAs
What Can Machine Learning Tell Us About Noncanonical Peptides?
Published:
Representing a modified peptide, generating one, and predicting whether it will work are different achievements. What evidence connects them?
Non-Canonical Amino Acids
UNAAGI: Atom-Level Diffusion for Generating Non-Canonical Amino Acid Substitutions
Published:
Presentation slides for UNAAGI.
PTMs
What Can Machine Learning Tell Us About Noncanonical Peptides?
Published:
Representing a modified peptide, generating one, and predicting whether it will work are different achievements. What evidence connects them?
Peptide Design
UNAAGI: Atom-Level Diffusion for Generating Non-Canonical Amino Acid Substitutions
Published:
Presentation slides for UNAAGI.
ProteinGym
UNAAGI: Atom-Level Diffusion for Generating Non-Canonical Amino Acid Substitutions
Published:
Presentation slides for UNAAGI.
machine learning
What Can Machine Learning Tell Us About Noncanonical Peptides?
Published:
Representing a modified peptide, generating one, and predicting whether it will work are different achievements. What evidence connects them?
protein structure
What Can Machine Learning Tell Us About Noncanonical Peptides?
Published:
Representing a modified peptide, generating one, and predicting whether it will work are different achievements. What evidence connects them?
structural biology
What Can Machine Learning Tell Us About Noncanonical Peptides?
Published:
Representing a modified peptide, generating one, and predicting whether it will work are different achievements. What evidence connects them?